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X-ORIGINAL-URL:https://mathstats.uncg.edu
X-WR-CALDESC:Events for Mathematics &amp; Statistics
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DTSTART;TZID=America/New_York:20250926T160000
DTEND;TZID=America/New_York:20250926T170000
DTSTAMP:20260419T182134
CREATED:20250922T135738Z
LAST-MODIFIED:20250922T135740Z
UID:10000021-1758902400-1758906000@mathstats.uncg.edu
SUMMARY:ANTCoG seminar talk
DESCRIPTION:Our speaker will be Andrew Stout from CUNY. \n\n\n\nTitle: Computations of generalized jet schemes in SINGULAR using the arc.lib library \n\n\n\nAbstract:  \n\n\n\nJet spaces associated to an algebraic variety are important in the area of singularity theory. In this talk\, we will give an introduction to this particular area of algebraic geometry with the goal of offering an accessible introduction to research in this area.  We will discuss how to write down the equations of a jet space and why having the ability to compute these equations directly in a computer algebra system is important in the first place. Then\, we will use the speaker’s new SINGULAR library arc.lib to perform some exploratory calculations. If time permits\, we will also discuss some of the more theoretical results of the speaker related to jet schemes and some open questions amenable to experimental exploration via the arc.lib library.  \n\n\n\n*Support for this project was also provided in-part by a BMCC-CUNY Faculty Development Grant entitled \n\n\n\n“Singularity Theory\, the Rogers-Ramanujan Identities\, and the Cohen-Macaulayness of Jet Schemes.” 
URL:https://mathstats.uncg.edu/event/antcog-seminar-talk-2/
LOCATION:Petty Science Building Room 150\, 317 College Ave\, Greensboro\, North Carolina\, 27412
ORGANIZER;CN="UNCG Mathematics and Statistics Department":MAILTO:mathstats@uncg.edu
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250924T170000
DTEND;TZID=America/New_York:20250924T190000
DTSTAMP:20260419T182134
CREATED:20250922T143337Z
LAST-MODIFIED:20250922T143339Z
UID:10000022-1758733200-1758740400@mathstats.uncg.edu
SUMMARY:Mix & Math Pizza Party
DESCRIPTION:Math & Stats majors (undergrad & grad & alumni) are invited to the annual Mix & Math Pizza Party under the bridge! \n\n\n\nMeet Math & Stats Faculty and fellow students with a chance to win some UNCG swag!
URL:https://mathstats.uncg.edu/event/mix-math-pizza-party/
LOCATION:Petty Science Building\, 317 College Avenue\, Greensboro\, North Carolina\, 27412\, United States
ATTACH;FMTTYPE=image/png:https://mathstats.uncg.edu/wp-content/uploads/2025/09/pizza-party-2025-e1758551604906.png
ORGANIZER;CN="UNCG Mathematics and Statistics Department":MAILTO:mathstats@uncg.edu
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250409T160000
DTEND;TZID=America/New_York:20250409T170000
DTSTAMP:20260419T182134
CREATED:20250321T182246Z
LAST-MODIFIED:20260324T191705Z
UID:10000013-1744214400-1744218000@mathstats.uncg.edu
SUMMARY:Helen Barton Lecture: "Integral Tales: Some Unexpected Connections"
DESCRIPTION:Victor H. Moll is a professor of mathematics at Tulane University. \n\n\n\nDuring the process of learning calculus one observes that there is a well-defined list of rules to compute derivatives: product\, quotient\, and chain rules are among the first taught in every class. On the other hand\, when one tries to compute integrals\, the student is left with a feeling that now there is simply a collection of tricks. There is no clear reason why one can integrate ex in a simple manner\, but the integral of ex^2 is more complicated. One learns these tricks from the instructor\, by talking to older classmates\, or by searching for them online. At the end\, there seems to be no systematic way of doing this. \n\n\n\nIt is remarkable that\, in the search of producing closed-forms of definite integrals\, one finds many interesting connections with apparently disjoint parts of mathematics. Examples will include (1) properties of a collection of positive integers appearing in the evaluation of a rational function\, (2) a planar dynamical system connected with a variation of the arithmetic geometric mean and (3) a list of definite integrals involving the gamma function. The lecture will be suitable for undergraduates and it will include stories about how the speaker got involved in such projects.
URL:https://mathstats.uncg.edu/event/integral-tales-some-unexpected-connections/
LOCATION:Petty Science Building Room 219\, 317 College Avenue\, Greensboro\, North Carolina\, 27412
CATEGORIES:Helen Barton Lecture Series
ATTACH;FMTTYPE=image/jpeg:https://mathstats.uncg.edu/wp-content/uploads/2025/03/Victor-Moll-Helen-Barton-Lecture-040925-scaled.jpg
ORGANIZER;CN="UNCG Mathematics and Statistics Department":MAILTO:mathstats@uncg.edu
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DTSTART;TZID=America/New_York:20250305T160000
DTEND;TZID=America/New_York:20250305T170000
DTSTAMP:20260419T182134
CREATED:20250221T135145Z
LAST-MODIFIED:20250226T165653Z
UID:10000008-1741190400-1741194000@mathstats.uncg.edu
SUMMARY:Colloquium
DESCRIPTION:Reception at 3:30 p.m. in Petty 116\n\n\n\nNicolò ZavaInstitute of Science and Technology Austria (ISTA)\n\n\n\n4:00 p.m. – 5:00 p.m. in Petty 219\n\n\n\n“An introduction to the role of the Gromov-Hausdorffdistance in computational topology”\n\n\n\nComputational topology is a well-established field at the crossover of topology and computational geometry. It aims to transfer the power of topology for quantitative analysis to the setting of discrete approximations\, typically finite data sets sampled from underlying objects. This analysis is usually performed by computing invariants of the spaces that extract patterns and features. The most important tool developed in this theory is persistent homology\, summarized by persistence diagrams. Successful applications of these invariants to real-world datasets started a whole new field known as topological data analysis (TDA). Given the ubiquity of data in our modern world and their importance in data-driven science\, a more interpretable\, geometry-based approach to treating large amounts of data is crucial. \n\n\n\nThe Gromov-Hausdorff distance is a notion of dissimilarity between metric spaces introduced by Gromov to study the convergence of metric structures. Earlier notions can be found in Edward’s and Kadets’ works. In the past decade\, it found applications in computational topology\, where it provides a theoretical framework to shape recognition and dataset comparison. Studying the metric properties of this distance helps us understand the advantages and limits of specific invariants. Using notions from dimension theory\, we can quantify the unavoidable loss of information. \n\n\n\n\n\nColloquium Event Flier with Nicolò Zava \n\n\n\n\n\nThe first part of this presentation introduces computational topology and TDA\, presenting some basic concepts and ideas. Then\, we discuss the Gromov-Hausdorff distance and its role in computational topology. Finally\, we present some results exploiting metric geometry and dimension theory to show theoretical limits to the precision of invariants\, bridging pure and applied mathematics.
URL:https://mathstats.uncg.edu/event/colloquium/
LOCATION:Petty Building\, Room 219\, 317 College Avenue\, Greensboro\, North Carolina\, 27402
ATTACH;FMTTYPE=image/jpeg:https://mathstats.uncg.edu/wp-content/uploads/2025/02/nicolo-zava.jpg
ORGANIZER;CN="UNCG Mathematics and Statistics Department":MAILTO:mathstats@uncg.edu
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